Once the MVP functions (#2, #3, #4, #5) are complete, the README should be updated with a simple, motivating example.
The example should demonstrate the core value proposition of the package: harmonizing multiple, differently-structured source data frames into a single, canonical target specification. For example, maybe these two dfs are the inputs (but probably with more rows):
df1 <- data.frame(state = c("ACTIVE", "inactive", "pending"))
df2 <- data.frame(current_status = c("A", "I", "H"))And the target is a status columns with levels = c("active", "inactive", "on_hold").
Once the MVP functions (#2, #3, #4, #5) are complete, the README should be updated with a simple, motivating example.
The example should demonstrate the core value proposition of the package: harmonizing multiple, differently-structured source data frames into a single, canonical target specification. For example, maybe these two dfs are the inputs (but probably with more rows):
And the target is a
statuscolumns withlevels = c("active", "inactive", "on_hold").